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RASPBERRY PI - POWERED AUTOMATED GARDEN SYSTEM

AUTHORS:
B. Sravani, B. Siddhu kumar ,D. Sravan kumar
Mentor
Dr. A. Theja
Affiliation
Department of Electronics and communication Engineering, TKR College of Engineering and Technology.

Department of Electronics and communication Engineering, TKR College of Engineering and Technology
DOI: 10.55041/ijsmt.v2i2.038
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract
This paper presents an intelligent garden automation system using Raspberry Pi and Arduino for continuous environmental monitoring and smart irrigation. The system integrates sensors to measure soil moisture, temperature, humidity, and light intensity. Based on predefined thresholds, it activates a water pump using a relay module to irrigate plants automatically. The solution aims to reduce water wastage and manual labor while enhancing plant care in urban gardening or greenhouse setups. Designed with modular components and written in Python, the system provides an affordable and scalable approach to sustainable agriculture.
Keywords
Raspberry Pi Arduino IoT Soil Moisture Sensor Smart Irrigation Environmental Monitoring Automation.
Article Information
PUBLICATION DETAILS
Review Type:
0
License:
CC BY-NC 4.0
Volume/Issue:
Volume Volume 10, Issue 01
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Feb 17 2026
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kumar, B. S. B. S. K. ,. S. (2026). Raspberry PI - Powered Automated Garden System. International Journal of Science, Strategic Management and Technology, Volume 10(01). https://doi.org/10.55041/ijsmt.v2i2.038

kumar, B.. "Raspberry PI - Powered Automated Garden System." International Journal of Science, Strategic Management and Technology, vol. Volume 10, no. 01, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i2.038.

kumar, B.. "Raspberry PI - Powered Automated Garden System." International Journal of Science, Strategic Management and Technology Volume 10, no. 01 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i2.038.

References

  1. Almeida, D., & Silva, R. (2017). IoT- based smart agriculture: A survey of applications and challenges. Conf. on Computing and Communication Technologies.

  2. Goyal, A., & Agarwal, R. (2019). Arduino and IoT-based smart garden monitoring system. J. Eng. Res. Technol., 8(5), 29–34.

  3. Sharma, S., & Soni, P. (2020). IoT- based smart irrigation and plant monitoring system. J. Comput. Sci. Mob. Comput., 9(4), 1–6.

  4. Yadav, , & Kumar, P. (2021). AI and IoT-based smart agriculture system: Challenges and future scope. J. Agric. Eng. Technol., 5(3), 145–152.

  5. Patel, V., & Trivedi, M. (2018). Raspberry Pi based automated plant watering system. J. Adv. Res. Comput. Sci. Softw. Eng., 8(4), 45–50.

  6. Kumar, A., & Singh, A. (2020). IoT- based smart farming: Future prospects and challenges. Proc. 2nd ICISASC.

  7. Behera, K., & Ray, P. K. (2020).

  8. Smart farming: An IoT-based approach to agriculture automation. Springer Adv. Comput., 6(2), 103–118.

  9. Shukla, S., & Soni, P. (2021). Remote monitoring and control of garden systems using IoT. J. Comput. Appl., 174(8), 14–19.

  10. Koh, P., & Leong, C. (2020). Robotic systems for agricultural applications: The future of smart farms. Agric. Robot. Smart Technol., 2(1), 37–45.

  11. Liu, Z., & Zhang, Q. (2020). Smart greenhouses: IoT-based automated monitoring and control for sustainable agriculture. Syst. Eng. J., 9(3), 221–229.

Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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